TW201521426A - Detection method for camera - Google Patents

Abstract

A detection method for camera includes predetermining a square standard picture; taking the standard picture by means of the camera, acquiring an electronic picture of the standard picture; detecting various performance indices of the camera, such as offset, deformation, clarity and color sensitivity by analyzing offset detection graph, deformation detection graph, color of deformation detection graph, and color detection graph in the electronic picture.

Description

Detection method for camera

The present invention relates to the field of device detection technology, particularly the field of imaging device detection technology, and more particularly to a method for detecting a camera.

Optical system measurement is the premise of system research and the beginning of system calibration. The development of information technology makes image information directly related to people's life. Electronic camera technology has entered thousands of households; the image of the system under test is corrected. In particular, the distortion recovery of some large viewing angle lenses is more valuable for image recovery of some security surveillance systems.

There are also foreign instruments on the market that can measure the lens quality of digital cameras or mobile cameras (only optical systems are detected); usually, consumers use eye observation to judge the imaging quality of digital cameras, and lack scientific detection concepts and methods.

The large-scale application of digital imaging equipment makes people's requirements for image quality higher and higher. To obtain high-quality digital images, digital images must be collected, transmitted, processed, recorded, etc. Quality information is tested and analyzed to identify problems and improve them in a timely manner. This promotes and promotes the application and development of digital image quality detection technology. Digital image quality detection technology has attracted widespread attention in the industry.

Whether the light transmittance of the lens of the digital camera is good or not affects whether the center brightness and the edge brightness of the imaged photo are consistent. Whether the center of the lens coincides with the geometric center of the image sensor not only affects the uniformity of the photo, but also forms a vignetting around the photo.

But for a long time, the consistency of the lens center and the geometric center can only be guaranteed by design. Although the theoretical calculation is consistent, errors are often introduced in the production process. How to measure this error has always been an unsolved problem.

In view of this, the main object of the present invention is to provide a camera detection method for detecting various quality indicators of a camera.

To achieve the above and other objects, the present invention provides a method for detecting a camera, comprising the steps of: presetting a standard image of a square, the standard image comprising: being disposed at a center of a standard image for detecting a camera The offset detection pattern of the offset; the deformation detection pattern disposed in the standard image and including at least one row and one column of graphics for detecting the deformation amount of the camera, the deformation detection pattern having a preset color to detect camera sharpness; a color detection pattern surrounding the offset detection pattern for detecting camera color sensing performance and having a standard color; capturing the standard image by the camera to obtain an electronic image of the standard image; and analyzing the electronic image The offset detection pattern, the deformation amount detection pattern, the color of the deformation amount detection pattern, and the color detection pattern in the image correspond to the offset, deformation amount, sharpness, and color perception performance of the detection camera.

In an embodiment of the present invention, the method for detecting a camera offset is: acquiring an imaging range of the camera and acquiring a center point coordinate of the imaging range; and acquiring a center point of the offset detection graphic in the electronic image a coordinate; and calculating a difference between a center point coordinate of the offset detection pattern and a center point coordinate of the imaging range, the difference being the offset of the camera.

In an embodiment of the present invention, the method for detecting a deformation amount of the camera is: acquiring a center point coordinate of any two figures in the same row or the same column in the deformation amount detection pattern in the electronic image, according to the acquired The center point coordinates of the two figures acquire the slope of the line connected by the center points of the two figures, which is the amount of deformation of the camera.

In an embodiment of the invention, the method for detecting camera sharpness is as follows: analyzing an edge of an arbitrary shape in the deformation amount detection pattern in the electronic image to determine the sharpness of the camera.

In an embodiment of the invention, the offset detection pattern is a diamond, a square or a circle.

In an embodiment of the invention, the deformation amount detecting pattern is a plurality of diamonds or a plurality of squares or a plurality of circles.

In an embodiment of the invention, the color detection pattern includes a plurality of diamonds or squares or circles having different standard colors surrounding the offset detection pattern.

In an embodiment of the invention, the deformation amount detecting pattern includes at least a plurality of patterns arranged on the periphery of the standard image.

In an embodiment of the present invention, the standard image includes 63 gray diamonds and 24 squares having different standard colors; 63 gray diamonds are evenly distributed in 7 rows and 9 columns, wherein: each of at least four The square area composed of the diamond shape forms a deformation detection pattern, and the diamond shape disposed at the center of the standard image is an offset detection pattern; 24 squares having different standard colors are centered on the offset detection pattern and are 4 lines 6 columns are evenly distributed to form a color detection pattern.

Based on the above, the detection method of the camera provided by the present invention has the following beneficial effects:

1. The present invention prescribes a standard image of a square, and arranges an offset detection pattern for detecting a camera offset at a center position of the standard image, and arranges at least one row and one column of graphics in the standard image. a deformation detecting pattern for detecting a deformation amount of the camera, the deformation detecting pattern having a preset color to detect camera sharpness, and a color for detecting camera color sensing performance and having a standard color around the offset detecting pattern Detecting a graphic, taking the standard image by the camera, acquiring an electronic image of the standard image, and finally analyzing the color of the offset detection pattern, the deformation amount detection pattern, the deformation amount detection pattern in the electronic image, and The color detection pattern corresponds to detecting the offset, the deformation amount, the sharpness and the color sensing performance of the camera, so the invention can achieve the purpose of detecting various quality indexes of the camera.

2. The invention can greatly simplify the detection process of the electronic product having the photographing function, especially the production of the camera, saving the detection time and improving the productivity.

3. The detection method of the invention has simple operation, wide application range and wide economic value.

The above described features and advantages of the present invention will be more apparent from the following description.

The embodiments of the present invention are described below by way of specific embodiments, and those skilled in the art can readily appreciate the other advantages and advantages of the present invention. The present invention may be embodied or applied in various other specific embodiments, and various modifications and changes may be made without departing from the spirit and scope of the invention.

It should be understood that the structures, the proportions, the sizes, and the like, which are illustrated in the specification of the present specification, are used for the purpose of understanding and reading by those skilled in the art, and are not intended to limit the present invention. The conditions that can be implemented are not technically meaningful, and any modification of the structure, change of the proportional relationship or adjustment of the size should be continued without affecting the effects and objectives of the present invention. It is within the scope of the technical contents disclosed in the present invention. In the meantime, the terms "upper", "lower", "one" and "bottom" are used in the description, and are not intended to limit the scope of the invention. Changes or adjustments to the relationship are considered to be within the scope of the invention as a result of the absence of material changes.

The invention is applied to the detection of a camera module in an electronic device with camera detection or camera function, wherein the electronic device includes, but is not limited to, a computer, a PAD, a mobile phone or a smart phone, a camera, and the like. Accordingly, it is an object of the present invention to provide a method for detecting a camera for detecting various quality indicators of a camera. The principle and embodiment of a method for detecting a camera of the present invention will be described in detail below, so that a method for detecting a camera of the present invention can be understood by those skilled in the art without any inventive effort.

Please refer to FIG. 1 , which is a flow chart showing a method for detecting a camera according to the present invention. As shown in FIG. 1, the present invention provides a method for detecting a camera, the method comprising:

Step S11, preset a square standard image, as shown in FIG. 2, the standard image 1 includes: an offset detection pattern 11 disposed at a center position of the standard image 1 for detecting a camera offset; The standard image 1 includes at least one row and one column of graphics, and a deformation amount detecting pattern 12 for detecting a camera deformation amount, the deformation amount detecting pattern 12 having a preset color to detect camera sharpness; and an offset detecting pattern 11 A color detection pattern 13 for detecting the color performance of the camera and having a standard color.

In step S12, the standard image 1 is taken by the camera to acquire an electronic image of the standard image 1.

Step S13, by analyzing the offset detection pattern 11, the deformation amount detection pattern 12, the color of the deformation amount detection pattern 12, and the color detection pattern 13 in the electronic image, the offset, the deformation amount, the sharpness, and the detection of the camera are detected. Color perception performance.

The camera detection method will be described in detail below.

First, a square standard image 1 is preset, which may be a rectangular standard image 1 or a square standard image 1. As shown in FIG. 2, the standard image 1 includes an offset detecting pattern 11, a deformation amount detecting pattern 12, and a color detecting pattern 13.

The offset detecting pattern 11 is disposed at the center position of the standard image 1 for detecting the camera shift amount, and the number of the offset detecting patterns 11 is one.

Specifically, in the embodiment, the offset detection pattern 11 includes, but is not limited to, a diamond, a square, a circle, or an equilateral triangle, and other patterns with easy coordinates of the center point coordinates are also applicable to the offset in this embodiment. The pattern 11 is detected.

The center of the offset detecting pattern 11 coincides with the center of the standard image 1. Thus, by acquiring whether the center point coordinates of the offset detecting pattern 11 are offset, it is known whether or not the entire acquired electronic standard image 1 is shifted.

Specifically, in the embodiment, as shown in FIG. 3, the method for detecting the camera offset is: acquiring the imaging range 2 of the camera and acquiring the center point coordinate of the imaging range, that is, C2 shown in FIG. 3; The center point coordinate of the offset detecting pattern 11 in the electronic image, that is, C1 shown in FIG. 3; the difference between the center point coordinate C1 of the offset detecting pattern 11 and the center point coordinate C2 of the imaging range is calculated. The value, which is the offset of the camera.

The camera offset is analyzed as follows: If the ordinates of C1 and C2 are not equal, the abscissa is equal, indicating that the camera has an offset in the vertical direction. If the ordinates of C1 and C2 are equal, the abscissa is not equal, indicating that the camera is in the horizontal direction. There is an offset. If the ordinates of C1 and C2 are not equal, the abscissa is not equal, indicating that the camera is offset in both the vertical direction and the horizontal direction. If the ordinates of C1 and C2 are equal, the abscissa is also equal, that is, C1. The two points coincide with C2, indicating that the camera has no offset.

The deformation amount detecting pattern 12 is disposed in the standard image 1 and includes at least one row and one column of graphics for detecting the amount of camera deformation.

Specifically, in the embodiment, the deformation detecting pattern 12 includes, but is not limited to, a plurality of diamonds including at least one row and one column, or a plurality of squares including at least one row and one column, or a plurality of circles including at least one row and one column, or a plurality of at least one row and one column. The equilateral triangle, the pattern in which other center point coordinates are easily obtained is also applicable to the deformation amount detecting pattern 12 in this embodiment.

The amount of deformation detected in the deformation amount detecting pattern 12 is usually caused by lens distortion in the camera, so it is possible to know whether or not the camera lens is deformed by detecting the amount of deformation. The deformation amount detecting pattern 12 should be provided with a level change amount and a vertical deformation amount, and the deformation amount detecting pattern 12 includes at least one line of graphics (at least two patterns in one line) for detecting the amount of level deformation, and one column of graphs (at least one column) Two graphs) are used to detect the amount of vertical deformation.

Specifically, in the present embodiment, the deformation amount detecting pattern 12 includes at least a plurality of patterns arranged on the periphery of the standard image 1.

Specifically, in the embodiment, the method for detecting the amount of deformation of the camera is: acquiring the coordinates of the center point of any two figures in the same row or the same column in the deformation amount detecting pattern 12 in the electronic image, according to the acquired two The center point coordinates of the graph obtain the slope of the line connected by the center points of the two figures, which is the amount of deformation of the camera.

Specifically, as shown in FIG. 4, the amount of deformation of the camera in the horizontal direction can be represented by the slope of a straight line connecting the two center point coordinates of the same row. The straight line connecting point A to point C is L1, and the slope of L1 can calculate the amount of deformation in the horizontal direction above the camera. It is assumed that the slope of L1 is k1, k1=(y3-y1)/(x3-x1), if k1≠0 , indicating that the camera's level direction is deformed. If k=0, it means that the amount of deformation in the horizontal direction above the camera is zero, and the camera's level is not deformed.

Similarly, any two points in the same row are also selected as point A and point B, or point B and point C. The slope k11 of the line connected from point A to point B can also be used to reflect the amount of deformation in the horizontal direction above the camera. The slope k11=(y2-y1)/(x2-x1). If k11≠0, the camera level is indicated. There is a deformation. If k11=0, it means that the amount of deformation in the horizontal direction above the camera is zero, and there is no deformation in the camera level. Similarly, the slope k12 of the line connecting B to C can also be used to reflect the amount of deformation in the horizontal direction above the camera. The slope k12=(y3-y2)/(x3-x2), if k12≠0, then The camera's level is deformed. If k12=0, the amount of deformation in the horizontal direction above the camera is zero, and the camera's level is not deformed. The above points A, B, and C are only methods for calculating the amount of deformation in the camera level direction. Specifically, when calculating the amount of deformation in the camera level direction, any two other patterns in the same line can be selected.

Similar to the method of calculating the amount of deformation in the horizontal direction of the camera, the method of calculating the amount of deformation of the camera in the vertical direction is represented by the slope of the line connecting the coordinates of the center points of the two figures in the same column. As shown in Fig. 4, taking the points A and D located in the same column as an example, the slope k2 of the line connected from point A to point D can be used to reflect the amount of deformation in the vertical direction of the camera, and the slope k2 = (y4- Y1)/(x4-x1), if k2≠0, it means that the camera has a deformation in the vertical direction. If k2=0, the deformation of the camera in the vertical direction is zero, and the camera is not deformed in the vertical direction. The above points A and D are only a method for calculating the amount of deformation of the camera in the vertical direction. Specifically, when calculating the amount of deformation in the vertical direction of the camera, two other patterns of the same column may be selected.

The deformation amount detecting pattern 12 has a preset color to detect camera sharpness. Specifically, in the embodiment, the method of detecting the sharpness of the camera is: analyzing the edge of any graphic in the deformation detecting pattern 12 in the electronic image to determine the sharpness of the camera.

Specifically, in the present embodiment, the color of any pattern (edge) in the deformation amount detecting pattern 12 has a certain color difference from the color of the background. In order to meet the different performance and grade requirements of the product, the difference between the color of the graphic and the color of the background can be arbitrarily adjusted. If the gray scale value of the color is used, the total black is 0, and the total white is 255, then the above two colors can be written as any data of the difference, such as 0 (color of the graphic) and 255 (color of the background) or 80 (color of graphics) and 225 (color of background), etc. In order to improve the detection standard of the camera, the color system with relatively weak contrast is selected. Because of the bright color of black, white or other colors, the color is still relatively bright or clear, which is not good for contrast, but the contrast is relatively weak. Colors, such as gray, can better detect the clarity of the camera. The contrast of colors depends on the characteristics and quality requirements of the product. The smaller the color difference, the more the color recognition and clarity of the camera are tested. In this embodiment, it is light gray and dark gray, the grayscale value of the color of the graphic is 80, and the grayscale value of the color of the background is 255.

The color detection pattern 13 is disposed around the offset detection pattern 11 for detecting the color perception performance of the camera and having a standard color. Specifically, in the present embodiment, the color detecting pattern 13 includes a plurality of diamonds or squares or circles having different standard colors surrounding the offset detecting pattern 11.

The standard image 1 includes an offset detection pattern 11, a deformation amount detection pattern 12, and a color detection pattern 13, and the number and relative positions of the patterns in the deformation amount detection pattern 12 and the color detection pattern 13 can be freely set as long as the above is satisfied. The functional requirements of the deformation amount detecting pattern 12 and the color detecting pattern 13 may be sufficient, but the present embodiment provides a preferred standard image 1, by which a better detection effect can be achieved by using the preferred standard image 1.

As shown in FIG. 5, specifically, in the embodiment, the standard image 1 includes 63 gray diamonds and 24 squares having different standard colors; 63 gray diamonds are evenly distributed in 7 rows and 9 columns, wherein: Each of the square regions composed of at least four diamonds forms a deformation amount detecting pattern 12, and the diamonds disposed at the center position of the standard image 1 are offset detecting patterns 11; 24 squares having different standard colors are detected by offset The pattern 11 is centered and uniformly distributed in 4 rows and 6 columns to form a color detection pattern 13.

The number of patterns in each row and column can be adjusted according to actual needs, and generally it will be adjusted according to the aspect ratio of the camera.

Among them, each square area composed of diamonds can be used to calculate the amount of deformation of the lens in the camera (including the amount of horizontal deformation and vertical deformation), which expands the range of detection selection; the most central diamond can be used to calculate the camera Offset, this offset contains the cumulative tolerance of the component after assembly.

In the present invention, a standard image 1 having various detection purposes is used, and the camera to be inspected can detect by taking the standard image 1 and analyzing the electronic image of the captured standard image 1 by the corresponding inspection software. Out of the camera's various quality indicators, these quality indicators are not only the camera body, but also include the assembled quality project, such as clarity, lens distortion, offset and so on.

In summary, the method for detecting a camera of the present invention achieves the following beneficial effects:

The invention prescribes a square standard image, and arranges an offset detection pattern for detecting a camera offset at a center position of the standard image, and arranges at least one row and one column of graphics in the standard image for detecting a deformation amount detecting pattern of a camera deformation amount, the deformation amount detecting pattern having a preset color to detect camera sharpness, and a color detecting pattern having a standard color for detecting camera color sensing performance around the offset detecting pattern Then, the standard image is taken by the camera to obtain an electronic image of the standard image, and finally the color of the offset detection pattern, the deformation detection pattern, the deformation detection pattern, and the color detection are analyzed by analyzing the electronic image. The graphic corresponds to detecting the offset, the deformation amount, the sharpness and the color sensing performance of the camera, so the invention can achieve the purpose of detecting various quality indexes of the camera; meanwhile, the invention can greatly simplify the electronic product having the photographing function, especially the camera. The detection process at the time of production saves the detection time and improves the productivity; and the detection method operation of the present invention Single, wide application, with a wide range of economic value. Therefore, the present invention effectively overcomes various shortcomings in the prior art and has high industrial utilization value.

The above embodiments are intended to illustrate the principles of the invention and its effects, and are not intended to limit the invention. Any of the above-described embodiments can be modified by those skilled in the art without departing from the spirit and scope of the invention. Therefore, the scope of protection of the present invention should be as set forth in the appended claims.

1‧‧‧Standard image
11‧‧‧Offset detection graphics
12‧‧‧ deformation detection pattern
13‧‧‧Color detection graphics
2‧‧‧ camera imaging range
S11~S13‧‧‧Steps

1 is a flow chart showing a method for detecting a camera of the present invention.

2 is a schematic view showing the structure of a standard image in the method for detecting a camera of the present invention.

FIG. 3 is a schematic diagram showing the detection of camera offset in the detection method for a camera of the present invention.

4 is a schematic view showing the amount of deformation of a detecting camera in the detecting method for a camera of the present invention.

Fig. 5 is a view showing a preferred configuration of a standard image in the method for detecting a camera of the present invention.

S11~S13

Claims (9)

A method for detecting a camera includes the following steps: Presetting a standard image of a square, the standard image comprising: an offset detection pattern disposed at a center position of a standard image for detecting a camera offset; Included in the standard image, at least one row and one column of graphics, a deformation amount detecting pattern for detecting a camera deformation amount, the deformation amount detecting pattern having a preset color to detect camera sharpness; surrounding the offset detecting pattern a color detection pattern for detecting a color perception performance of the camera and having a standard color; acquiring an electronic image of the standard image by capturing the standard image by the camera; and analyzing the offset detection pattern in the electronic image by analyzing The deformation amount detection pattern, the color of the deformation amount detection pattern, and the color detection pattern correspond to the detection camera offset, deformation amount, sharpness, and color perception performance. The method for detecting a camera according to claim 1, wherein the method for detecting a camera offset is: acquiring an imaging range of the camera and acquiring a center point coordinate of the imaging range; acquiring the electronic image The center point coordinate of the middle offset detection pattern; and calculating a difference between a center point coordinate of the offset detection pattern and a center point coordinate of the imaging range, the difference being the offset of the camera. The method for detecting a camera according to claim 1, wherein the method for detecting the amount of deformation of the camera is: acquiring any two of the deformation detection patterns in the electronic image in the same row or the same column. The center point coordinate of the graph acquires the slope of the line connected by the center points of the two figures according to the coordinates of the center point coordinates of the two figures obtained, which is the deformation amount of the camera. The method for detecting a camera according to the first aspect of the invention, wherein the method for detecting camera sharpness is: analyzing an edge of an arbitrary shape in the deformation amount detecting pattern in the electronic image to determine a sharpness of the camera. The method for detecting a camera according to claim 1 or 2, wherein the offset detecting pattern is a diamond, a square or a circle. The method for detecting a camera according to claim 1 or 3, wherein the deformation amount detecting pattern is a plurality of diamonds or a plurality of squares or a plurality of circles. The method for detecting a camera according to claim 1, wherein the color detecting pattern comprises a plurality of diamonds or squares or circles having different standard colors surrounding the offset detecting pattern. The method for detecting a camera according to claim 1, wherein the deformation amount detecting pattern includes at least a plurality of patterns arranged on edges of a standard image. The method for detecting a camera according to claim 1, wherein the standard image includes 63 gray diamonds and 24 squares having different standard colors; 63 gray diamonds are evenly distributed in 7 rows and 9 columns. Wherein: each of the square regions composed of at least four diamond shapes forms the deformation amount detecting pattern, and the diamond shape disposed at the center position of the standard image is an offset detecting pattern; 24 squares having different standard colors are biased The shift detection pattern is centered and uniformly distributed in 4 rows and 6 columns to form a color detection pattern.